MSCI Inc. is hiring a Senior Data Engineer to help ingest and transform climate risk and ancillary data into reliable geospatial insights. This onsite role in New York, NY combines advanced technology with a collaborative, innovation-focused culture, including flexible working arrangements, collaborative workspaces, and multi-directional career paths for long-term growth.
What you’ll do
You will support the processing, analysis, and interpretation of geospatial observations and modeling data. A key focus will be building and improving workflows that handle large volumes of hazard prediction data to strengthen risk assessment quality and accuracy.
- Develop and implement processes for processing hazard prediction data to improve the quality and accuracy of risk assessment.
- Plan and execute workflows across local and cloud-based environments using technologies such as GDAL, PostgreSQL, Python, and Spark.
- Analyze raster and vector data at scale to improve model accuracy, detect quality control issues, and propose remedies.
- Run statistical analysis to validate hazard model predictions and evaluate model uncertainties.
- Design and implement quality assurance checks for climate risk data and derived statistics.
- Provide technical support for customer support issue resolution by applying quality control checks and explaining models and risk statistics.
What you’ll bring
- Bachelor’s Degree in Data or Climate Science, or a related field.
- 5+ years of professional experience.
- Experience designing and using databases, including PostgreSQL.
- Proficiency with SQL queries to analyze complex datasets efficiently and reproducibly (preferred).
- Additional language experience such as Python.
- Experience writing software to process and analyze geospatial data using open source tools.
- Strong understanding of probability and statistics as applied to spatial data.
- Ability to build data pipelines on local and cloud-based systems using scripted languages.
- Proficiency with source control platforms such as Git.
- A science-based approach with strong concern for reliability, accuracy, and reproducibility.
- Experience with GIS and/or geospatial statistical analysis.
- Nice to have: experience with DBT and Spark.
Technologies you may use
- GDAL, PostgreSQL, Python, Spark
- SQL, Git
- DBT
Compensation and benefits
Salary range: USD 125,000 - 163,000 per year plus eligibility for an annual bonus.
- Transparent compensation schemes and comprehensive employee benefits tailored to location, supporting financial security, health, and overall wellbeing.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- A high-performance and innovation culture, with experimentation and shared accountability for results.
- Access to Learning@MSCI, AI Learning Center, LinkedIn Learning Pro, and tailored learning opportunities.
- Global Orientation program to kickstart your journey.
- Multi-directional career paths enabled by new challenges, internal mobility, and expanded roles.
- Inclusive culture with a sense of belonging, including eight Employee Resource Groups.
What will make you stand out
- Previous experience in the physical sciences.
- Master’s Degree preferred.
Team and role overview
As a Senior Data Engineer, you will ingest climate risk and ancillary data from First Street modelers and data partners, build geospatial data pipelines, query geospatial databases, calculate applicable statistics, and implement Quality Assurance and Quality Control processes. You will also ensure coordination and synchronization across databases and pipelines with APIs and web services, supporting success across the Data Operations team.
